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High-accuracy differential tracking of low-cost gps receivers.
| Content Provider | CiteSeerX |
|---|---|
| Author | Hedgecock, Will Maroti, Miklos Sallai, Janos Volgyesi, Peter Ledeczi, Akos |
| Abstract | In many mobile wireless applications such as the automated driving of cars, formation flying of unmanned air vehicles, and source localization or target tracking with wireless sensor networks, it is more important to know the precise relative locations of nodes than their absolute coordinates. GPS, the most ubiquitous localization system available, generally provides only absolute coordinates. Furthermore, low-cost receivers can exhibit tens of meters of error or worse in challenging RF environments. This paper presents an approach that uses GPS to derive relative location information for multiple receivers. Nodes in a network share their raw satellite measurements and use this data to track the relative motions of neighboring nodes as opposed to computing their own absolute coordinates. The system has been implemented using a network of Android phones equipped with a custom Bluetooth headset and integrated GPS chip to provide raw measurement data. Our evaluation shows that centimeter-scale tracking accuracy at an update rate of 1 Hz is possible under various conditions with the presented technique. This is more than an order of magnitude more accurate than simply taking the difference of reported absolute node coordinates or other simplistic approaches due to the presence of uncorrelated measurement errors. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Absolute Coordinate Low-cost Gps Receiver High-accuracy Differential Tracking Custom Bluetooth Headset Integrated Gps Chip Raw Measurement Data Low-cost Receiver Source Localization Multiple Receiver Unmanned Air Vehicle Many Mobile Wireless Application Raw Satellite Measurement Update Rate Absolute Node Coordinate Uncorrelated Measurement Error Android Phone Simplistic Approach Rf Environment Relative Motion Precise Relative Location Various Condition Wireless Sensor Network Ubiquitous Localization System Relative Location Information Automated Driving Network Share |
| Content Type | Text |
| Resource Type | Article |
